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The Learnehr program implements the Semi-Supervised Set Covering Machine (S3CM) algorithm for Electronic Health Record (EHR) freetext classification.
This work is
part of the Wellcome Trust and NIHR funded project CALIBER.
This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection.
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Manager of the International Classification of Diseases (ICD). Using MySQL database. The current version in Catalan (available in English and Spanish). In collaboration with CatSalut (Catalan Health Service) and TermCat (Catalan Terminology Service)
This application illustrates natural language processing using tagged grammars and statistical classification. Outputs are shown with the EMMA specification of the W3C. A viewer is provided to allow for more user-friendly viewing of EMMA results.
This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.
R package for classification under label uncertainty. (WARNING: this is a an early version under development, function definitions might change without notice.)
This software was implemented to assess the risky behavior of pedestrian. returns the detection and classification of pedestrian and vehicles in the video scene; it also estimate the distance between pedestrian and the closest vehicle.
Jems is an e-book management system. It is smart. It can automatically rename files & documents, classification, arrangement, etc. It also contains a search engine, that you can use it to find things you want.
Provides pre-compiled MEX functions that wrap around the libsvm C library. Many enhancement are applied to the C version of the library to speed up Matlab usage. 64-bit only.
Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
Provides a set of tools for processing text, such as text extraction and classification. Classification implementations to be implemented include: Bayesian and Statistical (N-gram).
The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
An Artificial Intelligence based software written in Java, deployed as an EJB / WebService application and implementing neural networks for data processing. It aims to be the brain of the web by serving text classification, mood detectors, etc.
An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.
a stand-alone web-based database tool for processing, managing and ana
...CANGS DB provides a very powerful data retrieval interface, which enables researchers to retrieve sample information and primers and barcodes information from any individual data set or from a combination of data set. It also provides interface to update sample information as well as taxonomic classification assigned by CANGS taxonomy analysis pipeline and delete any data set
A lyrical analysis and classification tool focused specifically on rhyming style in rap lyrics. Functions include phonetic transcription, rhyme visualization, and rapper classification.
Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
NewsRack is a tool/service that attempts to automate news monitoring. Based on user-specified definitions and rules, NewsRack will enable automated downloading, classification, filing, and long-term archiving of news.
jASEN is a pure java Anti Spam ENgine combining bayesian-like scanning with intelligent email inspection and classification. jASEN is best suited to developers wishing to integrate anti-spam services into an existing server based java email application.